1. GADGET - Globally applicable Area Disaggregated General Ecosystem Toolbox, www.hafro.is/gadget Bjarte Bogstad, Institute of Marine Research, Bergen, Norway bjarte@imr.no

2. History & relation to other models Models for boreal systems: MULTSPEC (IMR, Norway, 1980s-1990s) BORMICON (MRI, Iceland, 1990s) – New code Gadget (ca. 2000 and onwards)- Extension of BORMICON code Essentially same concept Gadget may be thought of as an extension of Stock synthesis method (Methot)

3. Gadget Forward simulation model Create a virtual population within the model Follow the fish through their lives – Fishing, mortality, growth, maturation, etc. Process driven – E.g. percentage becoming mature, not percentage mature at age

4. Gadget Age&length based State variables: Number of fish and mean weight by age and length group Multiple: species, stocks, fleets, areas May divide a stock in e.g. mature/immature, female/male, each with different population dynamics Coarse resolution in time and space (month/quarter/yearly time step, few areas) Separation of model and data – No data required for the simulation run

5. Applications of Gadget Used both as a research tool and for practical stock assessment Single and multispecies models, as well as single-species and mixed fisheries Used both for fish, marine mammal and shellfish stocks Barents Sea, Iceland, Celtic Sea, Bay of Biscay, Mozambique

6. Publications Stefansson and Palsson 1998- why are Gadget- type models suitable for boreal systems? Stefansson et al. – Statistical issues in such models Bjørnsson and Sigurdsson 2003 – Redfish application - Iceland Lindstrøm et al. Submitted – Whale-cod herring- capelin model – Barents Sea EU project reports – dst2 (2004), BECAUSE (2007)

8. Fitting model to data Statistical functions used to compare model and data - assign a numerical score to each data set Combined in a weighted sum to give a single likelihood score Repeat runs are made using different values of key parameters Optimisation algorithm used to find best fit of model to data Typically ~ 100 parameters in many Gadget models

9. Area division - example

10. Which data may be used in Gadget? Scientific survey data Commercial catch data Stomach content data Mark/recapture data Data and model resolution may be different

11. Software Written in C++ Can be run under UNIX/Linux and PC (using cygwin) Source code has to be downloaded, and then compiled on local computer Code has been used for many years – well tested Documentation and examples available on-line Graphics not included in package – only numerical output Further development of code not decided at the moment – main programmers have got new jobs

12. Strengths Flexible tool May integrate a wide variety of information on different resolution (biological/spatial/temporal) Model and data independent Well documented Suitable for modelling systems with a few main species/interactions (e.g. boreal ecosystems) Age data not needed Gaps in data/knowledge may be identified – no hidden assumptions

13. Weaknesses Some threshold to get started Computer-intensive Not the right tool if you have no data on length distributions

14. ICES Multispecies WG in October The Study Group on Multispecies Assessments in the North Sea [SGMSNS] will be renamed the Working Group on Multispecies Assessment Methods [WGSAM] (Co-Chairs: John Pinnegar, UK and Bjarte Bogstad, Norway) and will meet at AZTI, San Sebastian, Spain from 15–19 October 2007 to: examine the status of multispecies modelling efforts throughout the ICES region, i.e. Bay of Biscay, Mediterranean Sea, Iceland, Barents Sea, Baltic Sea, North Sea (based on results from EU-funded BECAUSE), and consider the feasibility of using the various methods across regions; evaluate region-specific stomach sampling survey designs and preparation of guidelines and operation manuals; investigate the potential implications of a decline in forage fish for dependent wildlife, and the implications for prey stocks of recovering fish predator populations; investigate the relation between weight at age in the predator species and the abundance of prey species; compare forward projections from ecosystem models such as Ecopath with Ecosim (EwE) and multispecies assessment models.